ArticleSensors (Basel, Switzerland)2021
Portable Ultrasound Research System for Use in Automated Bladder Monitoring with Machine-Learning-Based Segmentation.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- 3D Large-Scale Subwavelength-Resolution Sound Sheet Tomography Based on an Active and Programmable Circular Meta-Array.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Wearable ultrasound: a review of core technologies and clinical applications in cardiovascular monitoring.Microsystems & nanoengineering · 2026Review
- Integrated Ultrasound Device for Precision Bladder Volume Monitoring via Acoustic Focusing and Machine Learning.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Upper limb compensatory strategies across tasks with an ultrasound-controlled prosthesis.Scientific reports · 2026Article
- Virtual reality interactions via a user-generic ultrasound human-machine interface for wrist and hand tracking.Nature communications · 2025Article
- Advancing Bladder Health Diagnostics: The Potential of Optical Techniques for Noninvasive Assessment of Lower Urinary Tract Disorders.International neurourology journal · 2025Article
- Overcoming barriers in the use of artificial intelligence in point of care ultrasound.NPJ digital medicine · 2025Review
- Improved bladder diagnostics using multiparametric ultrasound.Abdominal radiology (New York) · 2025Review
- An ultrasound imaging system exploiting transducers and multiplexers on a flexible substrate together with a log-delta CMOS ADC.Npj flexible electronics · 2025Article
- Glass half full: Non-invasive bladder biosensors for urinary volume monitoring in the neurogenic pediatric population.Journal of pediatric rehabilitation medicine · 2024Review
- An integrated and flexible ultrasonic device for continuous bladder volume monitoring.Nature communications · 2024Article
- Clinical, Safety, and Engineering Perspectives on Wearable Ultrasound Technology: A Review.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024Review
- Wearable-Based Integrated System for In-Home Monitoring and Analysis of Nocturnal Enuresis.Sensors (Basel, Switzerland) · 2024Article
- Wireless and Catheter-Free Bladder Pressure and Volume Sensor.IEEE sensors journal · 2024Article
- Catheter-Free Urodynamics Testing: Current Insights and Clinical Potential.Research and reports in urology · 2024Review
- State of the Art of Non-Invasive Technologies for Bladder Monitoring: A Scoping Review.Sensors (Basel, Switzerland) · 2023Article
- Special Issue "Computer Aided Diagnosis Sensors".Sensors (Basel, Switzerland) · 2022Article
- Peripheral Nervous System Interfaces: Invasive or Non-invasive?Frontiers in neurorobotics · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
We developed a new mobile ultrasound device for long-term and automated bladder monitoring without user interaction consisting of 32 transmit and receive electronics as well as a 32-element phased array 3 MHz transducer. The device architecture is based on data digitization and rapid transfer to a consumer electronics device (e.g., a tablet) for signal reconstruction (e.g., by means of plane wave compounding algorithms) and further image processing. All reconstruction algorithms are implemented in the GPU, allowing real-time reconstruction and imaging. The system and the beamforming algorithms were evaluated with respect to the imaging performance on standard sonographical phantoms (CIRS multipurpose ultrasound phantom) by analyzing the resolution, the SNR and the CNR. Furthermore, ML-based segmentation algorithms were developed and assessed with respect to their ability to reliably segment human bladders with different filling levels. A corresponding CNN was trained with 253 B-mode data sets and 20 B-mode images were evaluated. The quantitative and qualitative results of the bladder segmentation are presented and compared to the ground truth obtained by manual segmentation.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.